AI NATIONALISM(S): GLOBAL INDUSTRIAL POLICY APPROACH TO AI
In this essay collection we survey the nationalist narratives and emergent industrial policies being proposed by governments with differing economic and geopolitical motivations.
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Key Measures to Combat Tech Power
Algorithmic Accountability
An emerging AI Accountability template runs the risk of entrenching power within the tech industry, and undercuts structural solutions.
Antitrust
Structural reforms are key to fixing the harms caused by Big Tech.
Biometrics & Affect
Despite mounting evidence of harm and untested scientific claims, biometric systems are still quietly proliferating.
Climate
Big tech infrastructures are locking us into an unsustainable future.
Global Digital Trade
Global trade laws are typically negotiated in secret and without public deliberation, and have become a focus for intense tech industry lobbying for preferential treatment.
Underexplored Policy Windows
Labor & Tech
Worker data rights are only a starting point: we’ll need bright-line rules to meaningfully build worker power.
Large-Scale AI Models
Industry narratives attempt to stave off regulation, but large-scale AI needs more scrutiny, not less.
Privacy & Competition
Regulating Big Tech’s data advantage.
AI Industrial Policy
As governments, and the public, solidify their orientation toward the AI industry, we are forced to wrestle with the relative advantages and disadvantages of AI industrial policy — a term referring to government spending, investment, and regulatory strategies focused on the AI industry. Many governments are increasingly focused on promoting, nurturing, and growing national AI economies — and the industries that underpin them.
Data Minimization as a Tool for AI Accountability
Data minimization policies – bright line rules that prohibit excessive or harmful data collection and use – are a tool for AI accountability.